Borrowing it
Nothing to install: this file belongs to sc28249782/GPTkms. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sc28249782/GPTkms/main/.codex/skills/kms-promote-session-insights/SKILL.mdgit clone --depth 1 https://github.com/sc28249782/GPTkmsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sc28249782/gptkms/kms-promote-session-insights)<a href="https://agentmods.dev/skills/sc28249782/gptkms/kms-promote-session-insights"><img src="https://agentmods.dev/badge/skills/sc28249782/gptkms/kms-promote-session-insights/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sc28249782/gptkms/kms-promote-session-insights"><img src="https://agentmods.dev/badge/skills/sc28249782/gptkms/kms-promote-session-insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.00387 |
| Opus 5.5 | $0.00038 | $0.00155 |
| Sonnet 5.5 | $0.00019 | $0.00077 |
| Haiku 4.5 | $0.00009 | $0.00039 |
Grade A, and why
kms-promote-session-insights scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Kms Promote Session Insights
Use this skill to turn project-scoped learning into curated global memory.
Keep the promotion bar high. Most notes should stay local until they prove reusable.
Read references/promotion-guide.md when you need the full decision checklist or promotion template.
Workflow
- Identify the candidate page in project scope.
- Confirm that it is reusable beyond the current repo.
- Run
kms_find_conflictsif a similar global concept may already exist. - Promote with
kms_promote_candidate. - Use a target page path and title that match the global taxonomy.
- Add a short promotion note that explains why the insight is globally reusable.
Promote only when true
- The page captures a reusable pattern, not just a one-off project detail.
- The lesson is understandable without the original chat transcript.
- The page has enough provenance to trust later.
- The title and tags will make sense to a future project.
Do not promote when false
- The insight only matters to one client or repo.
- The page is still exploratory, contradictory, or weakly sourced.
- The same concept already exists globally and only needs a small update.
Preferred output
- State the source project page.
- State the chosen global target page.
- State why the insight cleared the promotion bar.
- Include any conflict check result if one was needed.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 42 lines · 94 tokens per session scan A 258e4dd1ae02
kms-promote-session-insights is a skill published in the GitHub repository sc28249782/GPTkms (0 stars, last pushed 3mo ago), licensed MIT. It adds 94 tokens to every session and 387 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
kms-promote-session-insights compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kms-promote-session-insightssc28249782/GPTkms | Skill | 0 | 3mo ago | MIT | A | 94 | Codex |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |